Algorithms for Synthetic Aperture Radar Imagery X Book

	Conference Committee
	Synthetic aperture radar imaging based on two order of general keystone transform	1
	FOPEN ultrawideband SAR imaging by wavelet interpolation	9
	Toward the Bayesian-regularization method for enhanced SAR imaging	14
	Adaptive compression algorithm results for complex synthetic aperture radar data	26
	Migration-based SAR imaging for ground-penetrating radar systems	33
	Azimuth correlation models for radar imaging	45
	Windowing functions for SAR data with spectral gaps	54
	Three-dimensional fully polarimetric W-band ISAR imagery of scale-model tactical targets using a 1.56-THz compact range	66
	Three-dimensional surface reconstruction from multistatic SAR Images	75
	A signature correlation study of ground target VHF/UHF ISAR imagery	86
	Registration of multi-aspect InSAR images	98
	Geometric transforms and their applications to SAR speckle reduction	110
	Reduction of multiplicative noise using higher-order statistics	119
	Doubly stochastic MRF-based segmentation of SAR images	126
	Parallel Implementation of SAR imaging on DAWNING3000	134
	Signal analysis of a forward-looking SAR system	140
	Microlocal high-range-resolution ISAR for low signal-to-noise environments	149
	Difficulties in the interpretation of synthetic aperture images of targets	161
	Joint time-frequency analysis of high-bandwidth low-resolution ISAR imaging systems	173
	Application of point enhancement technique for ship target recognition by HRR	185
	Some results from scattering-based tomography for HRR and SAR prediction	194
	The VHF/UHF-band LORA SAR and GMTI system
	Estimating 3D orientation from ID projections with applications to radar	216
	Comparison of features from SAR and GMTI imagery of ground targets	224
	Moving target imaging using ultrawideband synthelic aperture radar	233
	Robustness of feature for automatic target discrimination in high-resolution polarimetric SAR data	242
	Self-training algorithms for ultrawideband raddar target detection	254
	Analysis of multiple-view Bayesian classification for SAR ATR	265
	Coevolving feature extraction agents for target recognition in SAR images	275
	Composite class models for SAR recognition	284
	Selecting training images with support vector machines for composite correlation filters in SAR ATR	292
	Chunk-based matching of images for ATR	303
	User fusion to constrain SAR targeting for TSTs	315
	Classification in high-resolution SAR data	325
	An informative confidence metric for ATR	336
	ATR workbench for automating image analysis	349
	Model-based and data-based approaches for ATR performance prediction	358
	Effects of SAR parametric variations on the performance of automatic target recognition algorithms	370
	A comparison of SAR ATR performance with information theoretic predictions	385
	Performance models for hypothesis-level fusion of multilook SAR ATR	396
	Addendum	408
	Author Index	409